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Voyager

AI agents

Voyager is the first LLM-powered embodied lifelong learning agent in Minecraft, capable of continuously exploring the world, acquiring diverse skills, and making new discoveries without human intervention. It consists of three core components: an automatic curriculum that maximizes exploration, an executable code skill library that stores and retrieves complex behaviors, and an iterative prompting mechanism that combines environmental feedback, execution errors, and self-verification. Voyager interacts with GPT-4 through black-box queries without fine-tuning model parameters. Its skills are temporally extended, interpretable, and compositional, enabling rapid compounding of the agent's abilities and mitigating catastrophic forgetting. Experiments show that Voyager obtains 3.3 times more unique items, travels 2.3 times farther, and unlocks key tech tree milestones up to 15.3 times faster than previous state-of-the-art methods. Voyager can use its learned skill library to solve new tasks from scratch in new worlds. This repository provides the code under the MIT license and requires Python >= 3.9 and Node.js >= 16.13.0, and depends on the Minecraft game, Fabric mods, and an OpenAI API key.

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Vrizen

AI agents

Vrizen is an engineering team that provides custom web applications, workflow automation, and AI agents, using a fixed-price model, with code ownership belonging to the client. The team is located in Chennai, India, and serves clients globally. Its core capabilities include: building AI assistants based on proprietary documents for customer support, research, and internal knowledge workflows; building automated workflows with error handling, visibility, and clear human handoff; and developing web applications based on mainstream, maintainable infrastructure. Its product Reply is an AI customer support agent that supports WhatsApp, Instagram, Telegram, and websites, with answers based on the client's own approved documents. Vrizen emphasizes from strategy to delivery: first mapping out people, tools, data, and decisions, then proposing technical solutions, and clarifying processes, interfaces, integrations, risks, and ownership before quoting.

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